Files
voicebox/backend/tests/test_rocm_requirements.py
e766c7cbfb feat(windows): Native AMD ROCm GPU Acceleration (Resolves #531) (#538)
* feat(windows): add native ROCm support for AMD GPUs

Implements native ROCm architecture for Windows.

- Adds backend build pipeline for voicebox-server-rocm.exe

- Detects AMD GPUs dynamically and routes PyTorch allocations

- Adds automatic download and update logic for ROCm dependencies

- Refactors UI in GpuPage.tsx and GpuAcceleration.tsx to add AMD flows

- Fixes 'Switch to CPU' lock on Windows via Tauri backend_override state

- Resolves PyInstaller/rocm_sdk UnboundLocalError silent crashes

- Resolves Numba/NumPy 2.x incompatibilities during Qwen3-TTS load

- Resolves HF_HUB_OFFLINE Catch-22 for CustomVoice processor caching

* fix(rocm): host libs archive under the app release tag, drop offline-load regression

Align the ROCm libs download with the CUDA pattern: both the server core and
the libs archive are published under the app-version release tag, with the libs
content version encoded in the filename only. The previous code fetched libs
from a separate rocm7.2-v1 tag, which disagreed with the download test.

Also revert the unrelated Qwen CustomVoice changes that wrapped model loading in
force_offline_if_cached (not imported — a NameError on load for every platform)
and re-added a Base-model cache gate. The inference-path offline guard was
deliberately removed previously.

* feat(rocm): gate download on AMD detection and persist the backend variant

The ROCm download section now only shows when the backend reports an AMD GPU on
Windows (new supports_rocm health field, backed by the memoized
is_amd_gpu_windows detection that was previously unused), or when ROCm is already
downloaded/active.

Make the backend override honor a pinned variant: set_backend_override persists
the choice to disk so it survives an app restart, start_server reads it back,
and a cuda/rocm pin now actually selects that variant instead of always
preferring ROCm. A stale pin to a deleted backend self-heals to the default
order rather than forcing CPU. Add the web no-op stub for the new method.

* chore(rocm): drop incomplete vitest harness for the unused GpuAcceleration component

GpuAcceleration.tsx is not routed anywhere (GpuPage is the live settings view),
and the added vitest setup referenced testing-library/vitest deps that were not
in the lockfile, breaking the web typecheck. Remove the dead component's test
and its scaffolding to keep this PR scoped to the ROCm feature.

* ci(rocm): add ROCm release-artifact pipeline

Mirror the CUDA packaging path for ROCm so the runtime download has artifacts to
fetch. scripts/package_rocm.py splits the PyInstaller --rocm onedir into
voicebox-server-rocm.tar.gz (core) + rocm-libs-rocm7.2-v1.tar.gz (AMD runtime:
HIP DLLs, rocBLAS Tensile data, MIOpen kernel DBs) + rocm-libs.json, matching
the names services/rocm.py expects, both under the app-version release tag.

The new build-rocm-windows job in release.yml builds on windows-latest/cp312 and
lets build_binary.py --rocm pull the official AMD Radeon wheels.

The file classifier can't be validated against a real AMD build on CI, so it has
unit coverage (test_package_rocm.py) against a synthetic onedir layout. The
prefixes/dir markers may need a tweak after the first real build on AMD
hardware — the packager hard-fails loudly if it classifies zero ROCm files.

---------

Co-authored-by: Jamie Pine <[email protected]>
2026-06-30 15:43:18 -07:00

131 lines
4.5 KiB
Python

"""
Phase 1.1 Test: ROCm requirements installation.
Validates that requirements-rocm.txt correctly installs ROCm-enabled PyTorch
and that torch.cuda.is_available() returns True on AMD hardware.
Usage:
python -m pytest backend/tests/test_rocm_requirements.py -v
"""
import os
import platform
import subprocess
import sys
import tempfile
from pathlib import Path
import pytest
def _has_amd_hardware():
"""Check if AMD GPU hardware is present on Windows."""
if platform.system() != "Windows":
return False
try:
result = subprocess.run(
[
"powershell",
"-Command",
"Get-WmiObject Win32_VideoController | "
"Where-Object {$_.AdapterCompatibility -like '*AMD*'} | "
"Measure-Object | Select-Object -ExpandProperty Count",
],
capture_output=True,
text=True,
check=True,
)
return int(result.stdout.strip()) > 0
except Exception:
return False
@pytest.fixture()
def backend_dir():
return Path(__file__).parent.parent
class TestRocmRequirements:
"""Validate requirements-rocm.txt content and installation."""
def test_requirements_file_exists(self, backend_dir):
req_file = backend_dir / "requirements-rocm.txt"
assert req_file.exists(), "requirements-rocm.txt must exist"
def test_requirements_file_content(self, backend_dir):
import re
req_file = backend_dir / "requirements-rocm.txt"
content = req_file.read_text()
assert "rocm7.2" in content, "Must point to ROCm 7.2 extra index"
# Parse exact package names to avoid false positives from URL substrings
package_names = re.findall(r"^([A-Za-z][A-Za-z0-9_-]*)", content, re.MULTILINE)
assert "torch" in package_names, "Must include torch package"
assert "torchaudio" in package_names, "Must include torchaudio package"
assert "torchvision" in package_names, "Must include torchvision package"
@pytest.mark.timeout(900)
@pytest.mark.skipif(
not os.environ.get("VOICEBOX_TEST_ROCM_INSTALL"),
reason="Set VOICEBOX_TEST_ROCM_INSTALL=1 to run the heavy install test",
)
def test_rocm_torch_installs_and_detects_amd(self, backend_dir):
"""
Create a temporary venv, install requirements-rocm.txt, and verify
torch.cuda.is_available() returns True on AMD hardware.
"""
req_file = backend_dir / "requirements-rocm.txt"
has_amd = _has_amd_hardware()
with tempfile.TemporaryDirectory() as tmpdir:
venv_dir = Path(tmpdir) / "venv"
subprocess.run(
[sys.executable, "-m", "venv", str(venv_dir)],
check=True,
)
if sys.platform == "win32":
venv_python = venv_dir / "Scripts" / "python.exe"
else:
venv_python = venv_dir / "bin" / "python"
# Upgrade pip to avoid resolver issues
subprocess.run(
[str(venv_python), "-m", "pip", "install", "--upgrade", "pip"],
check=True,
)
# Install ROCm requirements
subprocess.run(
[str(venv_python), "-m", "pip", "install", "-r", str(req_file)],
check=True,
)
# Verify torch imports and cuda availability
result = subprocess.run(
[
str(venv_python),
"-c",
"import torch; print(torch.__version__); print(torch.cuda.is_available())",
],
capture_output=True,
text=True,
check=True,
)
lines = result.stdout.strip().splitlines()
assert len(lines) >= 2, f"Unexpected output: {result.stdout}"
torch_version = lines[0]
cuda_available = lines[1] == "True"
# The honest test: on AMD hardware ROCm torch should report cuda available
if has_amd:
assert cuda_available, (
f"AMD hardware detected but torch.cuda.is_available() returned False. "
f"torch version: {torch_version}, stderr: {result.stderr}"
)
else:
assert not cuda_available, (
f"No AMD hardware detected but torch.cuda.is_available() returned True. "
f"torch version: {torch_version}"
)